Issues in Designing Monte Carlo Simulation Studies
Professor Xitao Fan, Ph.D., Chair Professor and Dean, Faculty of Education, University of Macau, China
Thursday 4th April 2012
This seminar discusses the major components in designing a Monte Carlo simulation study. The intended audiences are the quantitative researchers in education, psychology, and other disciplines of social and behavioral sciences (e.g., sociology, marketing research). The major topics to be discussed in this seminar include:
- Typical situations where Monte Carlo simulation is needed;
- Basic procedures and design considerations for a Monte Carlo simulation study;
- Methods for simulating univariate data;
- Methods for simulating multivariate data;
- Methods for simulating multivariate non-normal data;
- Data simulation validity verification;
- Considerations for design factors and manipulation levels;
- Simulation results analysis and presentation, etc.
The seminar provides a practical guide for planning and designing a Monte Carlo simulation study.
Xitao Fan, Ph.D., is Chair Professor and Dean, Faculty of Education, University of Macau, China. Prior to his current position, he was associate professor, full professor, and endowed chair professor in the Curry School of Education, University of Virginia, USA, and was assistant/associate professor in the Psychology Department, Utah State University, USA. He obtained his Ph.D. (1993) from Texas A&M University in educational psychology. His has research and teaching interests in applied multivariate methods, especially in structural equation modeling, longitudinal analysis of change, model fit assessment, reliability and validity issues in measurement and assessment, and inter-disciplinary education research. He served as the associate editor (2000-2004) and editor (2004-2010) for Educational and Psychological Measurement (Sage Publications, USA). He is an AERA Fellow (2012; American Educational Research Association). He has published over 100 journal articles and book chapters (about 70 in SSCI/SCI indexed competitive journals) on a range of research topics. His research has been widely cited by researchers/scholars internationally, (e.g., Google Scholar citations over 5,000; ISI’s Web of Science citations around 2000). In 2012, he was listed as one “highly cited researcher” by Thomson Reuters’ “Highly Cited Researchers”.
Open collaboration in policy modelling: OCOPOMO
Prof. Dr. Maria A. Wimmer, University of Koblenz-Landau, Germany
Tuesday 19th March
In this public lecture, Professor Maria Wimmer will talk about her experiences in engaging stakeholders in policy making and supporting policy development with advanced information and communication technologies. In the OCOPOMO project (Open Collaboration in Policy Modelling, funded in the 7th framework programme of the EC), a novel approach to engage stakeholders in policy formulation and to support the transformation of narrative texts via conceptual modelling into formal simulation models was developed. In the project, we developed an integrated ICT toolbox to support this process and, in particular, a smooth transformation of policy inputs by stakeholders to inform formal policy models.
In the presentation, Professor Wimmer provides an overview of the project results and main findings, in particular how the ICT toolbox can contribute to more transparency and open government through stakeholder engagement in policy development.
Professor Dr Maria A. Wimmer is professor for Electronic Government at University of Koblenz-Landau, Germany. She studied Computer Sciences at the University of Linz, Austria. With her research group, she was/is principal investigator of a number of research projects co-funded by the EC, of which she coordinates OCOPOMO, eGovPoliNet and eGovRTD2020. Her teaching and PhD supervision concentrates on ICT in the public sector and information systems (such as systems analysis and Enterprise Architecture). She chaired the IFIP WG 8.5 on Information Systems in the Public Sector in the period of 2007-2012 and is chairing the German Society of Informatics working group on Informatics in law and governments (RVI).